2023-2030年全球建築業的人工智慧(AI)市場
市場調查報告書
商品編碼
1296883

2023-2030年全球建築業的人工智慧(AI)市場

Global Artificial Intelligence (AI) in Construction Market 2023-2030

出版日期: | 出版商: Orion Market Research | 英文 200 Pages | 商品交期: 2-3個工作天內

價格

人工智慧幫助業主和承包商,從收集的環境數據、建築數據和材料數據中提供監督學習系統,以確定創建建築的最有效方式。建築企業正在使用一種人工智慧系統,該系統根據現有數據在幾秒鐘內向建築商推薦創建房屋所需的材料和成本。然而,非結構化的建築環境和不熟練的勞動力等因素阻礙了人工智慧在建築市場的發展。

建築公司正在利用人工智慧的能力進行設計、品質測量、安全和管理。設計應用創建機器學習算法,為設計師提供基於客戶偏好的預見性設計模型。人工智慧應用將生成性設計模型與項目聯合起來,提供一個初步的時間表和估計成本。人工智慧可以完成與人類智慧類似的任務,如識別、決策和規劃。

目錄

第一章:報告摘要

  • 當前行業分析和成長潛力展望
  • 研究方法和工具
  • 市場細分
    • 按領域分類
    • 按地區

第二章:市場概述和洞察力

  • 報告的範圍
  • 分析師的洞察力和當前的市場趨勢
    • 主要發現
    • 建議
    • 總結

第三章:競爭格局

  • 主要公司分析
  • Company
    • 概述
    • 財務分析
    • SWOT分析
    • 近期發展情況
  • 關鍵戰略分析

第四章:市場細分

  • 按終端用戶分類的全球建築業人工智慧市場
    • 住宅
    • 公共基礎設施
    • 重型建築
    • 其他行業
  • 按應用分類的全球建築業人工智慧市場
    • 規劃與設計
    • 安全與效率
    • 設備
    • 監測和維護

第五章:區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區

第六章:公司簡介

  • ALICE Technologies, Inc.
  • Applied Project Experience Pty. Ltd. (Damstra Technology)
  • Assignar, Pty. Ltd.
  • Autodesk Inc.
  • Built Robotics, Inc.
  • Deepomatic
  • Doxel, Inc.
  • eSUB, Inc.
  • IBM Corp.
  • INDUS.AI, Inc.
  • INTSITE, Ltd.
  • Jaroop
  • Kwant.ai
  • Microsoft, Inc.
  • Oracle, Inc.
  • Predii, Inc.
  • Renoworks Software, Inc.
  • SAP SE
  • Smartvid.Io, Inc.
  • Volvo AB
Product Code: OMR2027334

Global Artificial Intelligence (AI) in construction market is anticipated to grow at a CAGR of 38.7% during the forecast period (2023-2030). The factors such as the demand for efficient planning and other processes in construction advanced technology such as artificial intelligence is driving the growth of AI in the construction market. In addition, the rising need for construction safety has shown a positive impact on the growth of the market. The adoption of drones, robots, and autonomous vehicles in the construction industry is driving the growth of AI in construction market. Companies are adopting technologies for mapping, surveying construction sites, aerial imaging, and automating construction operations. This is developing immense opportunities shortly for the growth of AI in the construction industry.

Artificial intelligence aids the owners and contractors by providing a supervised learning system from collected environmental data, building data, and material data to identify the most productive way to create a building. Construction businesses are using an artificial intelligence system that recommends to a builder the materials to be used and costs needed to create the home based on available data in a few seconds. However, factors such as an unstructured construction environment and an unskilled workforce are hampering the growth of AI in the construction market.

Construction companies are using the capabilities of AI for designing, quality measurement, safety, and management. The design applications create a machine learning algorithm to offer designers anticipatory design models that are based on the preference of customers. The AI application joint generative design models with projects to offer a preliminary schedule and estimated cost. AI can do tasks similar to those performed by human intelligence such as recognition, decision-making, and planning.

Segmental Outlook

Global AI in the construction market is segmented based on end-user and application. Based on end-user, the market is segmented into residential, public infrastructure, heavy construction, and others. Based on the application, the market is segmented into planning & design, safety and efficiency, equipment, and monitoring &maintenance.

Planning & Design segment to have a significant share in AI in the construction market

The planning & design segment is anticipated to hold a significant market share in AI in the construction industry. In the planning stage, AI proposed construction sites and gathers valuable data and information to create 3D maps, blueprints, and construction plans. Technology enables to save time and money. Moreover, it gives insights to the professionals that need to effectively design, construct, plan, and manage infrastructure. A lot of costs are associated with architecture and design as making any changes in the construction phase that results in budgetary constraints. Increasing demand for a one-stop solution includes BIM 360 which makes use of AI to eliminate flaws in design at the planning stage.

Regional Outlooks

The global AI in Construction market is further segmented based on geography including North America (the US, and Canada), Europe (Italy, Spain, Germany, France, and Others), Asia-Pacific (India, China, Japan, South Korea, and Others), and the Rest of the World (the Middle East &Africa, and Latin America). The market can be analyzed for a particular region or country level as per the requirement. Among these, the Europe market is anticipated to cater to a prominent growth over the forecast period. However, the Asia-Pacific region is projected to experience considerable growth in the AI in Construction market.

Asia-Pacific will augment with the fastest rate of artificial intelligence in the construction market

The market in Asia-Pacific is expected to be the fastest-growing region mainly owing to the large adoption of AI-based platforms such as machine learning, deep learning, code frameworks and pre-built algorithms by the real estate companies in countries such as China and Japan. Moreover, the increasing demands by the economies to create smart cities which require amenities that in turn results in fueling the construction industry and encourage companies to adopt projects of AI in construction.

Market Players Outlook

The key players of AI in construction market include Autodesk, Inc., IBM Corp., Microsoft Inc., Oracle, Inc., SAP SE, Doxel, Inc., Volvo AB, Smartvid.Io, Inc., Assignar, Inc, and ALICE Technology, Inc. These companies are offering innovative AI-based solutions all across the globe. The market is expected to show significant growth in coming years owing to the increasing number of start-ups supported by investment by tech giants. For instance, in September 2019, INDUS.AI, an advanced construction intelligence solution provider, raises $8 million in series A to bring AI to construction. The investment was led by Millennium New Horizons with additional participation from strategic investors Fundamental and Ground break Ventures.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Company
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global AI in Construction Market by End-User
    • 4.1.1. Residential
    • 4.1.2. Public Infrastructure
    • 4.1.3. Heavy Construction
    • 4.1.4. Others
  • 4.2. Global AI in Construction Market by Application
    • 4.2.1. Planning & Design
    • 4.2.2. Safety and Efficiency
    • 4.2.3. Equipment
    • 4.2.4. Monitoring & Maintenance

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. ALICE Technologies, Inc.
  • 6.2. Applied Project Experience Pty. Ltd. (Damstra Technology)
  • 6.3. Assignar, Pty. Ltd.
  • 6.4. Autodesk Inc.
  • 6.5. Built Robotics, Inc.
  • 6.6. Deepomatic
  • 6.7. Doxel, Inc.
  • 6.8. eSUB, Inc.
  • 6.9. IBM Corp.
  • 6.10. INDUS.AI, Inc.
  • 6.11. INTSITE, Ltd.
  • 6.12. Jaroop
  • 6.13. Kwant.ai
  • 6.14. Microsoft, Inc.
  • 6.15. Oracle, Inc.
  • 6.16. Predii, Inc.
  • 6.17. Renoworks Software, Inc.
  • 6.18. SAP SE
  • 6.19. Smartvid.Io, Inc.
  • 6.20. Volvo AB

LIST OF TABLES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE IN RESIDENTIAL CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE IN PUBLIC INFRASTRUCTURE CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEAVY CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL ARTIFICIAL INTELLIGENCE IN OTHERS CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 7. GLOBAL AI IN PLANNING & DESIGN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL AI IN SAFETY AND EFFICIENCY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL AI IN CONSTRUCTION EQUIPMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL AI IN CONSTRUCTION MONITORING & MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 12. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 13. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 14. EUROPEAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 15. EUROPEAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 16. EUROPEAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 20. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 21. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE BY END-USER, 2022 VS 2030 (%)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE BY APPLICATION, 2022 VS 2030 (%)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE IN RESIDENTIAL CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL ARTIFICIAL INTELLIGENCE IN PUBLIC INFRASTRUCTURE CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEAVY CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE IN OTHER CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL AI IN PLANNING & DESIGN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL AI IN SAFETY AND EFFICIENCY MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL AI IN CONSTRUCTION EQUIPMENT MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL AI IN CONSTRUCTION MONITORING & MAINTENANCE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 12. THE US ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 13. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 14. UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 15. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 16. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 17. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 18. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 19. ROE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 20. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)